{smcl}
{com}{sf}{ul off}{txt}{.-}
      name:  {res}<unnamed>
       {txt}log:  {res}/Users/xpmiki/Dropbox/esaiasson/replicationData/e27.smcl
  {txt}log type:  {res}smcl
 {txt}opened on:  {res} 9 Sep 2016, 14:38:59
{txt}
{com}. clear 
{txt}
{com}. set more off
{txt}
{com}. use "charity field1.dta"
{txt}
{com}. 
. gen t = .
{txt}(614 missing values generated)

{com}. replace t = 5 if beslutsform == 1
{txt}(67 real changes made)

{com}. replace t = 5 if beslutsform == 2
{txt}(61 real changes made)

{com}. replace t = 0 if beslutsform == 3
{txt}(54 real changes made)

{com}. replace t = 0 if beslutsform == 4
{txt}(59 real changes made)

{com}. replace t = 1 if beslutsform == 5
{txt}(71 real changes made)

{com}. replace t = 5 if beslutsform == 6
{txt}(75 real changes made)

{com}. replace t = 5 if beslutsform == 7
{txt}(68 real changes made)

{com}. replace t = 5 if beslutsform == 8
{txt}(68 real changes made)

{com}. replace t = 5 if beslutsform == 9
{txt}(82 real changes made)

{com}. 
. drop if t == 5
{txt}(421 observations deleted)

{com}. 
. set seed  358395
{txt}
{com}. sem (d <-  t  wl p)(p <-  t  wl)   , vce(cluster klassnummer)
{res}{txt}(1 observations with missing values excluded)

Endogenous variables

{p 0 11 2}Observed:{space 2}{res}d p{p_end}
{txt}
Exogenous variables

{p 0 11 2}Observed:{space 2}{res}t wl{p_end}
{txt}
Fitting target model:

Iteration 0:{space 3}log pseudolikelihood = {res:-244.48278}  
Iteration 1:{space 3}log pseudolikelihood = {res:-244.48278}  

Structural equation model{col 49}Number of obs{col 67}= {res}       183
{col 1}{txt}Estimation method{col 20}= {res}ml
{col 1}{txt}Log pseudolikelihood{col 20}= {res}-244.48278

{txt}{ralign 78:(Std. Err. adjusted for {res:9} clusters in klassnummer)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}{res}Structural  {col 14}{txt}{c |}
{space 2}{col 3}d <-      {col 14}{c |}
{space 11}p {c |}{col 14}{res}{space 2} .3752971{col 26}{space 2} .0691229{col 37}{space 1}    5.43{col 46}{space 3}0.000{col 54}{space 4} .2398186{col 67}{space 3} .5107755
{txt}{space 11}t {c |}{col 14}{res}{space 2} .0618316{col 26}{space 2} .0194892{col 37}{space 1}    3.17{col 46}{space 3}0.002{col 54}{space 4} .0236334{col 67}{space 3} .1000297
{txt}{space 10}wl {c |}{col 14}{res}{space 2} .1474523{col 26}{space 2} .0338578{col 37}{space 1}    4.36{col 46}{space 3}0.000{col 54}{space 4} .0810923{col 67}{space 3} .2138123
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}  .509773{col 26}{space 2} .0472469{col 37}{space 1}   10.79{col 46}{space 3}0.000{col 54}{space 4} .4171709{col 67}{space 3} .6023752
{space 2}{txt}{hline 11}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 2}{col 3}p <-      {col 14}{c |}
{space 11}t {c |}{col 14}{res}{space 2}-.0641177{col 26}{space 2} .0847722{col 37}{space 1}   -0.76{col 46}{space 3}0.449{col 54}{space 4}-.2302682{col 67}{space 3} .1020327
{txt}{space 10}wl {c |}{col 14}{res}{space 2} .1261332{col 26}{space 2}  .042152{col 37}{space 1}    2.99{col 46}{space 3}0.003{col 54}{space 4} .0435169{col 67}{space 3} .2087496
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .6097929{col 26}{space 2} .0637612{col 37}{space 1}    9.56{col 46}{space 3}0.000{col 54}{space 4} .4848233{col 67}{space 3} .7347625
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
     var(e.d){c |}{col 14}{res}{space 2} .0342986{col 26}{space 2} .0044374{col 54}{space 4} .0266165{col 67}{space 3} .0441979
{txt}     var(e.p){c |}{col 14}{res}{space 2} .0879296{col 26}{space 2} .0082014{col 54}{space 4} .0732388{col 67}{space 3} .1055672
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. estat ic

Akaike's information criterion and Bayesian information criterion

{txt}{hline 13}{c TT}{hline 63}
       Model {c |}        Obs  ll(null)  ll(model)      df         AIC        BIC
{hline 13}{c +}{hline 63}
{ralign 12:.}{col 14}{c |}{res}{col 16}       183{col 27}        .{col 38}-244.4828{col 49}     8{col 58} 504.9656{col 69} 530.6415
{txt}{hline 13}{c BT}{hline 63}
{p 15 21 2}
Note: N=Obs used in calculating BIC; see {helpb bic_note:[R] BIC note}.
{p_end}

{com}. estat teffects 
{res}

{txt}Direct effects
{res}{txt}{ralign 78:(Std. Err. adjusted for {res:9} clusters in klassnummer)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}{res}Structural  {col 14}{txt}{c |}
{space 2}{col 3}d <-      {col 14}{c |}
{space 11}p {c |}{col 14}{res}{space 2} .3752971{col 26}{space 2} .0691229{col 37}{space 1}    5.43{col 46}{space 3}0.000{col 54}{space 4} .2398186{col 67}{space 3} .5107755
{txt}{space 11}t {c |}{col 14}{res}{space 2} .0618316{col 26}{space 2} .0194892{col 37}{space 1}    3.17{col 46}{space 3}0.002{col 54}{space 4} .0236334{col 67}{space 3} .1000297
{txt}{space 10}wl {c |}{col 14}{res}{space 2} .1474523{col 26}{space 2} .0338578{col 37}{space 1}    4.36{col 46}{space 3}0.000{col 54}{space 4} .0810923{col 67}{space 3} .2138123
{space 2}{txt}{hline 11}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 2}{col 3}p <-      {col 14}{c |}
{space 11}t {c |}{col 14}{res}{space 2}-.0641177{col 26}{space 2} .0847722{col 37}{space 1}   -0.76{col 46}{space 3}0.449{col 54}{space 4}-.2302682{col 67}{space 3} .1020327
{txt}{space 10}wl {c |}{col 14}{res}{space 2} .1261332{col 26}{space 2}  .042152{col 37}{space 1}    2.99{col 46}{space 3}0.003{col 54}{space 4} .0435169{col 67}{space 3} .2087496
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}


Indirect effects
{res}{txt}{ralign 78:(Std. Err. adjusted for {res:9} clusters in klassnummer)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}{res}Structural  {col 14}{txt}{c |}
{space 2}{col 3}d <-      {col 14}{c |}
{space 11}p {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (no path)
{space 11}t {c |}{col 14}{res}{space 2}-.0240632{col 26}{space 2} .0302071{col 37}{space 1}   -0.80{col 46}{space 3}0.426{col 54}{space 4} -.083268{col 67}{space 3} .0351416
{txt}{space 10}wl {c |}{col 14}{res}{space 2} .0473374{col 26}{space 2} .0201369{col 37}{space 1}    2.35{col 46}{space 3}0.019{col 54}{space 4} .0078699{col 67}{space 3}  .086805
{space 2}{txt}{hline 11}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 2}{col 3}p <-      {col 14}{c |}
{space 11}t {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (no path)
{space 10}wl {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (no path)
{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}


Total effects
{res}{txt}{ralign 78:(Std. Err. adjusted for {res:9} clusters in klassnummer)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}{res}Structural  {col 14}{txt}{c |}
{space 2}{col 3}d <-      {col 14}{c |}
{space 11}p {c |}{col 14}{res}{space 2} .3752971{col 26}{space 2} .0691229{col 37}{space 1}    5.43{col 46}{space 3}0.000{col 54}{space 4} .2398186{col 67}{space 3} .5107755
{txt}{space 11}t {c |}{col 14}{res}{space 2} .0377684{col 26}{space 2} .0294439{col 37}{space 1}    1.28{col 46}{space 3}0.200{col 54}{space 4}-.0199407{col 67}{space 3} .0954775
{txt}{space 10}wl {c |}{col 14}{res}{space 2} .1947898{col 26}{space 2} .0395122{col 37}{space 1}    4.93{col 46}{space 3}0.000{col 54}{space 4} .1173472{col 67}{space 3} .2722323
{space 2}{txt}{hline 11}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 2}{col 3}p <-      {col 14}{c |}
{space 11}t {c |}{col 14}{res}{space 2}-.0641177{col 26}{space 2} .0847722{col 37}{space 1}   -0.76{col 46}{space 3}0.449{col 54}{space 4}-.2302682{col 67}{space 3} .1020327
{txt}{space 10}wl {c |}{col 14}{res}{space 2} .1261332{col 26}{space 2}  .042152{col 37}{space 1}    2.99{col 46}{space 3}0.003{col 54}{space 4} .0435169{col 67}{space 3} .2087496
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. 
. *** indirect and direct - winning/losing
. cap program drop indireff
{txt}
{com}. program indireff, rclass
{txt}  1{com}. sem (d <-  t  wl p)(p <-  t  wl)   , vce(cluster klassnummer)
{txt}  2{com}.   estat teffects
{txt}  3{com}.   mat bi = r(indirect)
{txt}  4{com}.   mat bt = r(total)
{txt}  5{com}.   return scalar indir  = el(bi,1,3)
{txt}  6{com}.   return scalar total  = el(bt,1,3)
{txt}  7{com}. end 
{txt}
{com}. 
. set seed 358395
{txt}
{com}. bootstrap r(indir) r(total), reps(1000): indireff
{txt}(running indireff on estimation sample)

Bootstrap replications ({res}1000{txt})
{hline 4}{c +}{hline 3} 1 {hline 3}{c +}{hline 3} 2 {hline 3}{c +}{hline 3} 3 {hline 3}{c +}{hline 3} 4 {hline 3}{c +}{hline 3} 5 
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{res}
{txt}Bootstrap results{col 49}Number of obs{col 67}= {res}       183
{txt}{col 49}Replications{col 67}= {res}     1,000
{p2colset 7 17 21 2}{...}

{txt}{p2col :command:}indireff{p_end}
{p2colset 9 17 21 2}{...}
{p2col :_bs_1:}{res:r(indir)}{p_end}
{p2colset 9 17 21 2}{...}
{p2col :_bs_2:}{res:r(total)}{p_end}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}   Observed{col 26}   Bootstrap{col 54}         Norm{col 67}al-based
{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 7}_bs_1 {c |}{col 14}{res}{space 2} .0473374{col 26}{space 2} .0205173{col 37}{space 1}    2.31{col 46}{space 3}0.021{col 54}{space 4} .0071244{col 67}{space 3} .0875505
{txt}{space 7}_bs_2 {c |}{col 14}{res}{space 2} .1947898{col 26}{space 2} .0362258{col 37}{space 1}    5.38{col 46}{space 3}0.000{col 54}{space 4} .1237885{col 67}{space 3}  .265791
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. estat bootstrap, percentile bc  

{txt}Bootstrap results{col 49}Number of obs{col 67}= {res}       183
{txt}{col 49}Replications{col 67}= {res}      1000
{p2colset 7 17 21 2}{...}

{txt}{p2col :command:}indireff{p_end}
{p2colset 9 17 21 2}{...}
{p2col :_bs_1:}{res:r(indir)}{p_end}
{p2colset 9 17 21 2}{...}
{p2col :_bs_2:}{res:r(total)}{p_end}

{col 1}{text}{hline 13}{c TT}{hline 12}{hline 11}{hline 13}{hline 12}{hline 10}{hline 6}
{col 14}{text}{c |}    Observed{col 38}    Bootstrap
{col 14}{text}{c |}       Coef.{col 27}       Bias{col 38}    Std. Err.{col 51}  [95% Conf. Interval]
{col 1}{text}{hline 13}{c +}{hline 12}{hline 11}{hline 13}{hline 12}{hline 10}{hline 6}
{col 1}{text}       _bs_1{col 14}{c |}{result}{space 2} .04733744{col 27}{space 2} .0006419{col 38}{space 2} .02051726{col 51}{space 2} .0137082{col 63}{space 1} .0940424{col 73}{text}   (P)
{col 14}{text}{c |}{col 51}{result}{space 2} .0154025{col 63}{space 1} .0962327{col 73}{text}  (BC)
{col 1}{text}       _bs_2{col 14}{c |}{result}{space 2} .19478975{col 27}{space 2} .0018381{col 38}{space 2} .03622577{col 51}{space 2} .1297526{col 63}{space 1} .2733564{col 73}{text}   (P)
{col 14}{text}{c |}{col 51}{result}{space 2} .1254371{col 63}{space 1} .2694006{col 73}{text}  (BC)
{col 1}{text}{hline 13}{c BT}{hline 12}{hline 11}{hline 13}{hline 12}{hline 10}{hline 6}
{col 0}(P){col 8}percentile confidence interval
{col 0}(BC){col 8}bias-corrected confidence interval

{com}. 
. *** indirect and direct - treatment
. cap program drop indireff
{txt}
{com}. program indireff, rclass
{txt}  1{com}. sem (d <- wl  t  p)(p <- wl  t )    , vce(cluster klassnummer)
{txt}  2{com}.   estat teffects
{txt}  3{com}.   mat bi = r(indirect)
{txt}  4{com}.   mat bt = r(total)
{txt}  5{com}.   return scalar indirect  = el(bi,1,3)
{txt}  6{com}.   return scalar total  = el(bt,1,3)
{txt}  7{com}. end
{txt}
{com}. 
. set seed 358395
{txt}
{com}. bootstrap r(indirect) r(total), reps(1000): indireff
{txt}(running indireff on estimation sample)

Bootstrap replications ({res}1000{txt})
{hline 4}{c +}{hline 3} 1 {hline 3}{c +}{hline 3} 2 {hline 3}{c +}{hline 3} 3 {hline 3}{c +}{hline 3} 4 {hline 3}{c +}{hline 3} 5 
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{res}
{txt}Bootstrap results{col 49}Number of obs{col 67}= {res}       183
{txt}{col 49}Replications{col 67}= {res}     1,000
{p2colset 7 17 21 2}{...}

{txt}{p2col :command:}indireff{p_end}
{p2colset 9 17 21 2}{...}
{p2col :_bs_1:}{res:r(indirect)}{p_end}
{p2colset 9 17 21 2}{...}
{p2col :_bs_2:}{res:r(total)}{p_end}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}   Observed{col 26}   Bootstrap{col 54}         Norm{col 67}al-based
{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 7}_bs_1 {c |}{col 14}{res}{space 2}-.0240632{col 26}{space 2} .0169488{col 37}{space 1}   -1.42{col 46}{space 3}0.156{col 54}{space 4}-.0572822{col 67}{space 3} .0091558
{txt}{space 7}_bs_2 {c |}{col 14}{res}{space 2} .0377684{col 26}{space 2} .0304182{col 37}{space 1}    1.24{col 46}{space 3}0.214{col 54}{space 4}-.0218501{col 67}{space 3} .0973869
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. estat bootstrap, percentile bc  

{txt}Bootstrap results{col 49}Number of obs{col 67}= {res}       183
{txt}{col 49}Replications{col 67}= {res}      1000
{p2colset 7 17 21 2}{...}

{txt}{p2col :command:}indireff{p_end}
{p2colset 9 17 21 2}{...}
{p2col :_bs_1:}{res:r(indirect)}{p_end}
{p2colset 9 17 21 2}{...}
{p2col :_bs_2:}{res:r(total)}{p_end}

{col 1}{text}{hline 13}{c TT}{hline 12}{hline 11}{hline 13}{hline 12}{hline 10}{hline 6}
{col 14}{text}{c |}    Observed{col 38}    Bootstrap
{col 14}{text}{c |}       Coef.{col 27}       Bias{col 38}    Std. Err.{col 51}  [95% Conf. Interval]
{col 1}{text}{hline 13}{c +}{hline 12}{hline 11}{hline 13}{hline 12}{hline 10}{hline 6}
{col 1}{text}       _bs_1{col 14}{c |}{result}{space 2} -.0240632{col 27}{space 2} .0008229{col 38}{space 2}  .0169488{col 51}{space 2} -.057534{col 63}{space 1} .0093419{col 73}{text}   (P)
{col 14}{text}{c |}{col 51}{result}{space 2}-.0612131{col 63}{space 1}  .006767{col 73}{text}  (BC)
{col 1}{text}       _bs_2{col 14}{c |}{result}{space 2} .03776839{col 27}{space 2}-.0010554{col 38}{space 2} .03041816{col 51}{space 2}-.0222947{col 63}{space 1} .0965271{col 73}{text}   (P)
{col 14}{text}{c |}{col 51}{result}{space 2}-.0206282{col 63}{space 1} .0993274{col 73}{text}  (BC)
{col 1}{text}{hline 13}{c BT}{hline 12}{hline 11}{hline 13}{hline 12}{hline 10}{hline 6}
{col 0}(P){col 8}percentile confidence interval
{col 0}(BC){col 8}bias-corrected confidence interval

{com}. 
. *** randomization check
. reg  t  gender interest ideology , robust

{txt}Linear regression                               Number of obs     = {res}       177
                                                {txt}F(3, 173)         =  {res}     2.18
                                                {txt}Prob > F          = {res}    0.0927
                                                {txt}R-squared         = {res}    0.0321
                                                {txt}Root MSE          =    {res} .48774

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}           t{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 6}gender {c |}{col 14}{res}{space 2} .0056777{col 26}{space 2} .0815434{col 37}{space 1}    0.07{col 46}{space 3}0.945{col 54}{space 4}-.1552704{col 67}{space 3} .1666257
{txt}{space 4}interest {c |}{col 14}{res}{space 2} .2239811{col 26}{space 2} .1334199{col 37}{space 1}    1.68{col 46}{space 3}0.095{col 54}{space 4}-.0393594{col 67}{space 3} .4873215
{txt}{space 4}ideology {c |}{col 14}{res}{space 2} .3771462{col 26}{space 2} .1688632{col 37}{space 1}    2.23{col 46}{space 3}0.027{col 54}{space 4} .0438488{col 67}{space 3} .7104436
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .1491363{col 26}{space 2} .1086022{col 37}{space 1}    1.37{col 46}{space 3}0.171{col 54}{space 4}-.0652197{col 67}{space 3} .3634923
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. log close
      {txt}name:  {res}<unnamed>
       {txt}log:  {res}/Users/xpmiki/Dropbox/esaiasson/replicationData/e27.smcl
  {txt}log type:  {res}smcl
 {txt}closed on:  {res} 9 Sep 2016, 14:40:55
{txt}{.-}
{smcl}
{txt}{sf}{ul off}